Model
Qwen3.8 2.4T A95B
Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows
15 providers · 16 listingsreleased open weights
$2
lowest input /M · NanoGPT
$6
lowest output /M · NanoGPT
1.05M
context window
1.01M
max output
Compare providers (sorted by listed input price)
15 providers list Qwen3.8 2.4T A95B. The cheapest full-context option is Charm Hyper at $2/$6 per M. Requesty lists lower but caps context at 262K.
Best price history
Daily lowest published price across live providers. A lower line is better for the buyer.
- Best input /M
- $2▲ 11.1%
- Best output /M
- $6▲ 11.1%
- Provider coverage
- 16
- 11 at the start · 24 snapshots
Best input priceBest output priceAug 21, 2026 → Sep 14, 2026
Price badge
https://www.vaanalytics.in/badge/alibaba/qwen3.8-2.4t-a95b.svgLive SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.
Recent changes
Changelog →- contextvia kilo · Sep 9, 2026
- output: 262K → 131K tokens
- contextvia openrouter · Sep 9, 2026
- output: 262K → 131K tokens
- new modelvia fireworks-ai · Sep 5, 2026
- repricedvia openrouter · Sep 3, 2026
- output: 131K → 262K tokens
- cache_read: $0.2 → $0.25
- contextvia kilo · Sep 3, 2026
- context: 262K → 1M tokens
- output: 131K → 262K tokens
- repricedvia openrouter · Sep 2, 2026
- output: 262K → 131K tokens
- cache_read: $0.25 → $0.2
Weights
Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.